Instructions to use tanoManzo/bloom-attitude with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tanoManzo/bloom-attitude with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tanoManzo/bloom-attitude")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tanoManzo/bloom-attitude") model = AutoModelForSequenceClassification.from_pretrained("tanoManzo/bloom-attitude", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from tanoManzo/bloom-attitude: direct link, hf CLI and curl.
- Browser
- Download file 14.5 MB
-
https://huggingface.co/tanoManzo/bloom-attitude/resolve/main/tokenizer.json
- Command line
-
hf download hf://tanoManzo/bloom-attitude/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/tanoManzo/bloom-attitude/resolve/main/tokenizer.json
14.5 MB
- Xet hash:
- f7f6dbae1bc194d0de8f7018f72bb102d0da88b926e3ab6fce4987b9344b7786
- Size of remote file:
- 14.5 MB
- SHA256:
- fa18280d17cb2240255ae226f2e8ce87bc72ae3fb9f7044d0238395b4d8b7a33
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